Artificial Intelligence and Machine Learning Courses

Certified AI Engineer Professional (CAEP)

  • Length 6 months
  • Price  NZD 5643.95 exc GST
  • Inclusions Exam vouchers x4
Course overview
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Why study this course

Did you know that Australia has experienced an astounding 300% growth in AI-related jobs over the past five years? With an estimated annual growth rate of 15% according to SEEK, there’s never been a better time to step into this booming field.

AI Engineers play a pivotal role in shaping an AI-driven future by designing and implementing innovative solutions that drive business transformation and technological advancement. Our expert-led AI Engineer course equips you with practical skills in designing and implementing AI solutions using Azure services, setting you apart in a competitive job market. The course is tailored to help you master key AI concepts, from natural language processing to computer vision, while aligning with certification requirements.

Gain essential, in-demand skills and earn three globally-recognised certifications: Microsoft Azure Fundamentals, Microsoft Azure AI Fundamentals, and Microsoft Azure AI Engineer Associate. Throughout this online AI course, you will also work hands-on with industry-standard tools and technologies, developing hands-on experience with a capstone project that mirrors real-world AI projects, ensuring you are job-ready upon completion.

In this interactive online course, students are guided by experts in the field who mentor them through the entire process, and students have the added advantage of taking the course content at their own pace.

Exams

The course includes vouchers for four exams across three certifications which are undertaken in an online proctored environment. Exam fees are included in the cost of the course.

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What you’ll learn

  • Obtain essential knowledge in Azure principles and practices

  • Develop a deep understanding of the Azure eco-system

  • Learn AI and machine learning principles, featuring computer vision, Natural Language Processing, and generative AI workloads

  • Hands-on programming with Python, C#, API integration, JSON data formats, Machine Learning frameworks, and implementation using Azure services

  • Work with a real-world AI application which involves natural language processing, computer vision, knowledge mining, and generative AI solutions

  • Hands-on project: Develop AI models, build chatbots, and create vision, speech, and language-based solutions with Azure Cognitive Services


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Lumify Learn at Lumify Work

Lumify Learn makes it possible for anyone, anywhere, to get started in IT. All you need is a laptop and a wifi connection, as all their courses are designed to be studied exclusively online.
Lumify Learn is part of the Lumify Group, helping people master technological change for over three decades.


Who is the course for?

Professionals interested in pursuing an AI Engineer career, regardless of prior experience. This programme is a great option for those new to the field or looking to switch careers.


Course subjects

Microsoft Azure Fundamentals

This fundamental certification is your stepping stone to understanding the Azure ecosystem. It equips you with essential knowledge of Azure cloud computing principles and types of Azure services including virtual machines, storage, networking, and database. In addition, you'll understand the governance, compliance, policies, security, and cost management in Azure. This industry-recognised certification also boosts your resume, highlights your dedication to the field, and paves the way for advanced credentials.

Microsoft Azure AI Fundamentals

This certification introduces Azure AI tools and services, understanding how each tool operates and the algorithms of the applications. The course will provide the basics of building AI models, applications, and AI implementation scenarios. You'll learn the fundamentals in Azure AI and strengthen your Azure AI knowledge.

Essential AI Programming Knowledge

A strong foundation in programming is essential to become ready for the Azure AI Engineer Associate course and the AI Engineer field. Python and C# skills enable engineers to build, train, and deploy AI models, while hands-on experience with REST APIs and JSON ensures AI engineers can integrate AI solutions into real-world applications. Data processing and manipulation are crucial for preparing datasets, a key step in machine learning. Understanding AI programming skills fundamentals allows AI engineers to develop intelligent solutions.

Microsoft Azure AI Engineer Associate

The certification equips you with the knowledge and practical skills to design, implement, and manage AI solutions using Azure AI services. Key areas of focus include natural language processing, computer vision, machine learning models, and integrating AI solutions into existing applications. Learners gain hands-on experience in deploying Azure Machine Learning models, leveraging cognitive services, and ensuring AI solutions meet performance, scalability, and ethical standards. Additionally, the certification emphasises managing data sources, building responsible AI solutions, and collaborating with developers and stakeholders to meet business objectives.

By undertaking real-world projects, you will develop the practical experience and confidence needed to become an AI engineer, ensuring you are job-ready from day one.


Prerequisites

There are no prerequisites - even if you are brand new to IT, with the right attitude and appetite to learn, you'll be able to join the course.

You'll need to have access to a laptop or desktop computer with a reliable internet connection.


THIRD PARTY REGISTRATION

Lumify Work promotes courses which are delivered by Lumify Learn; both companies are part of the EdventureCo Group. This arrangement requires Lumify Work to provide your details to Lumify Learn for course and/or exam registration purposes.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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